APA (7th ed.) Citation

Sheykhmousa, M., Mahdianpari, M., Ghanbari, H., Mohammadimanesh, F., Ghamisi, P., & Homayouni, S. (2020). Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review. IEEE journal of selected topics in applied earth observations and remote sensing, 13, 6308-6325. https://doi.org/10.1109/JSTARS.2020.3026724

Chicago Style (17th ed.) Citation

Sheykhmousa, Mohammadreza, Masoud Mahdianpari, Hamid Ghanbari, Fariba Mohammadimanesh, Pedram Ghamisi, and Saeid Homayouni. "Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13 (2020): 6308-6325. https://doi.org/10.1109/JSTARS.2020.3026724.

MLA (9th ed.) Citation

Sheykhmousa, Mohammadreza, et al. "Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, 2020, pp. 6308-6325, https://doi.org/10.1109/JSTARS.2020.3026724.